Gytis Svirskis

34 papers and 947 indexed citations i.

About

Gytis Svirskis is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Gytis Svirskis has authored 34 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cellular and Molecular Neuroscience, 24 papers in Cognitive Neuroscience and 13 papers in Statistical and Nonlinear Physics. Recurrent topics in Gytis Svirskis’s work include Neural dynamics and brain function (24 papers), Neuroscience and Neural Engineering (16 papers) and stochastic dynamics and bifurcation (13 papers). Gytis Svirskis is often cited by papers focused on Neural dynamics and brain function (24 papers), Neuroscience and Neural Engineering (16 papers) and stochastic dynamics and bifurcation (13 papers). Gytis Svirskis collaborates with scholars based in Lithuania, United States and Denmark. Gytis Svirskis's co-authors include Jørn Hounsgaard, John Rinzel, Vibhakar C. Kotak, Dan H. Sanes, Jean‐Françóis Perrier, Rodolfo Delgado‐Lezama, Steen Nedergaard, Pablo E. Jercog, Maria Toledo‐Rodriguez and Abdeljabbar El Manira and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and The Journal of Physiology.

In The Last Decade

Co-authorship network of co-authors of Gytis Svirskis i

Fields of papers citing papers by Gytis Svirskis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gytis Svirskis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gytis Svirskis. The network helps show where Gytis Svirskis may publish in the future.

Countries citing papers authored by Gytis Svirskis

Since Specialization
Citations

This map shows the geographic impact of Gytis Svirskis's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gytis Svirskis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gytis Svirskis more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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